private dynamic GetSeries(IMetricRegistry metricRegistry, IMetricAggregator metricAggregator, ExpressionCompiler expressionCompiler)
{
try
{
var model = new SeriesQueryModel();
this.BindTo(model, new BindingConfig {
BodyOnly = false
});
var now = DateTime.UtcNow;
var from = DateTimeParser.ParseDateTime(model.From, now, now.AddHours(-1));
var until = DateTimeParser.ParseDateTime(model.Until, now, now);
var environment = new Statsify.Core.Expressions.Environment
{
MetricRegistry = metricRegistry,
QueuedMetricDatapoints = metricAggregator.Queue
};
var evalContext = new EvalContext(@from, until);
var metrics = new List <Core.Model.Metric>();
foreach (var expression in model.Expression.Select(HttpUtility.UrlDecode))
{
var e = expressionCompiler.Parse(expression).Single();
if (e is MetricSelectorExpression)
{
e = new EvaluatingMetricSelectorExpression(e as MetricSelectorExpression);
} // if
var r = (Core.Model.Metric[])e.Evaluate(environment, evalContext);
metrics.AddRange(r);
} // foreach
var seriesViewList =
metrics.
Select(m =>
new SeriesView {
Target = m.Name,
Datapoints =
m.Series.Datapoints.
Select(d => new[] { d.Value, d.Timestamp.ToUnixTimestamp() }).
ToArray()
}).
ToArray();
return(Response.AsJson(seriesViewList));
}
catch (Exception e)
{
return(Response.AsJson(new { e.Message, e.StackTrace }, HttpStatusCode.InternalServerError));
}
}
public void Parse()
{
var sources = new[] {
"summarize(alias_by_fragment(ema(servers.srv-aps3.system.processor.{total*,user*}, 50), 2, 4), 'sum', '1d', false)",
"sort_by_name(alias_by_fragment(summarize(servers.*.system.processor.total_time, \"max\", \"10m\"), 1, 4))"
};
const int N = 10000;
var expressionCompiler = new ExpressionCompiler();
var expressions = expressionCompiler.Parse(sources[0]).ToList();
var stopwatch = Stopwatch.StartNew();
for (var n = 0; n < N; ++n)
{
foreach (var source in sources)
{
expressions = expressionCompiler.Parse(source).ToList();
}
}
Console.WriteLine(stopwatch.Elapsed);
}
